LAPSE:2019.0844
Published Article
LAPSE:2019.0844
Control Strategy of Electric Heating Loads for Reducing Power Shortage in Power Grid
Siyuan Xue, Yanbo Che, Wei He, Yuancheng Zhao, Ruiping Zhang
July 30, 2019
With the development of demand response technology, it is possible to reduce power shortages caused by loads participating in power grid dispatching. Based on the equivalent thermal parameter model, and taking full account of the virtual energy storage characteristics presented during electro-thermal conversion, a virtual energy storage model suitable for electric heating loads with different electrical and thermal parameters is proposed in this paper. To avoid communication congestion and simplify calculations, the model is processed by discretization and linearization. To simplify the model, a control strategy for electric heating load, based on the virtual state ofcharge priority list, is proposed. This paper simulates and analyzes a control example, explores the relevant theoretical basis affecting the control effect, and puts forward an optimization scheme for the control strategy. The simulation example proved that the proposed method in this paper can reduce power storage in the grid over a long period of time and can realize a power response in the grid.
Keywords
demand response, electric heating load, electric water heater, power shortage, virtual energy storage (VES), virtual state of charge (VSOC)
Suggested Citation
Xue S, Che Y, He W, Zhao Y, Zhang R. Control Strategy of Electric Heating Loads for Reducing Power Shortage in Power Grid. (2019). LAPSE:2019.0844
Author Affiliations
Xue S: Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
Che Y: Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China [ORCID]
He W: State Grid Jiangxi Electric Power Research Institute, Nanchang 330096, China
Zhao Y: Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
Zhang R: College of Automation and Electrical Engineering, Lanzhou Jiaotong University, Gansu 730070, China
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Journal Name
Processes
Volume
7
Issue
5
Article Number
E273
Year
2019
Publication Date
2019-05-09
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr7050273, Publication Type: Journal Article
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LAPSE:2019.0844
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doi:10.3390/pr7050273
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Jul 30, 2019
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Jul 30, 2019
 
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Original Submitter
Calvin Tsay
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